AI in all inspection processes.
"InspectAI" is a package software that automates the visual inspection process using AI technology. Specifically, it learns and determines normal/abnormal conditions based on images taken of the inspection targets. 【InspectAI Features】 - No need for image data of defective products, significantly reducing the effort required to prepare training data for model construction. - Model training can be completed in about 1-2 hours with simple screen operations. - Achieves high-speed processing in line with takt time. For more details, please refer to the catalog. Also, feel free to contact us.
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basic information
We will conduct a field survey of the inspection process and provide support including necessary hardware such as cameras and lighting.
Price range
Delivery Time
Applications/Examples of results
- Automation of foreign matter inspection processes for raw materials - Reduction of man-hours by extracting key inspection points for fine parts - Reduction of man-hours through automatic image classification of defects in precision parts
catalog（5）
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![[AI Implementation Case] Inspection of Large Machinery Parts](https://image.mono.ipros.com/public/catalog/image/01/590/556410/IPROS09310235129750083625.jpeg?w=120&h=170)
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![[AI Implementation Case] Quality Inspection of Raw Materials in Consumables Manufacturing](https://image.mono.ipros.com/public/catalog/image/01/ae5/552153/IPROS53728588861535446936.jpeg?w=120&h=170)
![[AI Implementation Case] Inspection of Large Machinery Parts](https://image.mono.ipros.com/public/catalog/image/01/906/549542/IPROS88429662716112525831.jpeg?w=120&h=170)
Company information
Our company utilizes machine learning algorithms, particularly deep learning, to provide a wide range of services that can meet the diverse needs of our customers. Additionally, we are conducting research and development with an eye toward a future where robots possess "artificial consciousness" and begin to engage in advanced interactions with humans.
![[AI Implementation Case] Inspection of Large Machinery Parts](https://image.mono.ipros.com/public/product/image/b78/2000560034/IPROS31554840234564475284.png?w=280&h=280)
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![[AI Implementation Case] Extraction from a Large Number of Captured Images](https://image.mono.ipros.com/public/product/image/0f5/2000563487/IPROS33222112550429701632.png?w=280&h=280)
